Triple
T18879163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dar |
E461772
|
entity |
| Predicate | communicationTarget |
P40250
|
FINISHED |
| Object | wild animals |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: wild animals | Statement: [Dar, communicationTarget, wild animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationTarget Context triple: [Dar, communicationTarget, wild animals]
-
A.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
B.
communicatesTo
chosen
Indicates that one entity sends or conveys information, messages, or signals to another entity as the intended recipient.
-
C.
communicationService
Indicates a relationship where one entity provides or facilitates a means for another entity to exchange information or messages.
-
D.
communicationTrait
Indicates a characteristic or quality related to how an entity communicates or engages in communication.
-
E.
communicationModel
Indicates the type or framework of communication used or assumed in the relationship between entities.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d06ef481908bba297d7a1fd011 |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e48d22dde8819093b1d963bd673365 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.